diff --git a/DESCRIPTION b/DESCRIPTION index 15af0b9..ea463e4 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -6,7 +6,7 @@ Authors@R: email = "lyu.geosocial@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0009-0002-6003-3800")) -Description: Infer causation from observational data through pattern causality analysis (PC), with original algorithm for time series data from Stavroglou et al. (2020) , as well as methodological extensions for spatial cross-sectional data introduced by Zhang & Wang (2025) , together with a systematic description proposed in Lyu et al. (2026) . +Description: Unveil interactions in complex systems through pattern causality analysis (PC), with the original algorithm for time series data by Stavroglou et al. (2020) , as well as methodological extensions for spatial cross-sectional data introduced by Zhang & Wang (2025) , together with a systematic description detailed in Lyu et al. (2026) . License: GPL-3 Encoding: UTF-8 URL: https://stscl.github.io/pc/, https://github.com/stscl/pc diff --git a/README.md b/README.md index 35ebcbc..2aba6ef 100644 --- a/README.md +++ b/README.md @@ -18,7 +18,7 @@ ***P**attern **C**ausality Analysis* -*pc* is an R package for pattern-based causality analysis in both time series and spatial cross-sectional data. It uses symbolic pattern representations and cross mapping to detect directional interactions and infer causal structure from temporal dynamics and spatial snapshots. Built on a high-performance C++ backend with a lightweight R interface, *pc* provides efficient and flexible tools for data-driven causality analysis. +*pc* is an R package for pattern-based causality analysis in both time series and spatial cross-sectional data. It uses phase space reconstruction and symbolic pattern projection to unveil causal interactions from temporal dynamics and spatial variations. Built on a high-performance C++ backend with a lightweight R interface, *pc* provides efficient and flexible tools for data-driven causality analysis. > *Refer to the package documentation for more detailed information.*